X-ray Interpreter is an AI-powered platform for analyzing radiology images, including X-rays, CT scans, MRIs, ultrasounds, and PET scans. It provides fast, preliminary reports to support medical professionals, students, and patients. Users upload images in formats like JPG, PNG, or DICOM, and the system generates detailed reports with clear summaries. A free preview report feature allows users to view initial findings without cost, with full reports available via a credit-based system starting at $2.50 per analysis.
The platform supports a wide range of imaging modalities, from chest X-rays to veterinary scans, making it versatile. Its intuitive interface requires no software downloads, and reports are delivered in minutes. The AI leverages advanced algorithms for high accuracy, though results depend on image quality. The free DICOM viewer, which processes files locally, ensures privacy by avoiding uploads. A newsletter offers updates on radiology AI advancements.
Compared to competitors like Aidoc, which integrates with hospital systems, or Qure.ai, focused on enterprise diagnostics, X-ray Interpreter prioritizes accessibility for individual users. Its pricing is more affordable for non-institutional use, though it lacks the depth of clinical tools offered by competitors. User feedback on Trustpilot highlights quick support but notes occasional inaccuracies with poor-quality images.
The platform’s privacy features are robust, with no data stored on servers for the DICOM viewer. However, users must upload high-resolution images for optimal results, as low-quality inputs can lead to errors. The site clearly states it’s not a substitute for professional medical advice, emphasizing its supplementary role.
To use X-ray Interpreter effectively, select 3–5 clear images per view (sagittal, axial, coronal). Test the free preview before purchasing credits. Medical students and patients seeking second opinions will find it useful, but always consult a radiologist for critical diagnoses.